Business Process Management: 16th International Conference, BPM 2018, Sydney, NSW, Australia, September 9–14, 2018, Proceedings: Lecture Notes in Computer Science, cartea 11080
Editat de Mathias Weske, Marco Montali, Ingo Weber, Jan vom Brockeen Limba Engleză Paperback – 11 aug 2018
The 27 papers presented in this volume were carefully reviewed and selected from 140 submissions. They were organized in topical sections named: reflections on BPM; concepts and methods in business process modeling and analysis; foundations of process discovery; alignments and conformance checking; process model analysis and machine learning; digital process innovation; and method analysis and selection.
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Specificații
ISBN-13: 9783319986470
ISBN-10: 3319986473
Pagini: 467
Ilustrații: XXIV, 514 p. 695 illus., 73 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.75 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Information Systems and Applications, incl. Internet/Web, and HCI
Locul publicării:Cham, Switzerland
ISBN-10: 3319986473
Pagini: 467
Ilustrații: XXIV, 514 p. 695 illus., 73 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.75 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Information Systems and Applications, incl. Internet/Web, and HCI
Locul publicării:Cham, Switzerland
Cuprins
Reflections on BPM.- BPM: Foundations, Engineering, Management.- Bringing Middleware to Everyday Programmers with Ballerina.- Track I: Concepts and Methods in Business Process Modeling and Analysis.- Open to Change: A Theory for Iterative Test-Driven Modelling.- Construction Process Modeling: Representing Activities, Items and their Interplay.- Feature-Oriented Composition of Declarative Artifact-Centric Process Models.- Animating Multiple Instances in BPMN Collaborations: from Formal Semantics to Tool Support.- Managing Decision Tasks and Events in Time-aware Business Process Models.- Track I: Foundations of Process Discovery.- Interestingness of Traces in Declarative Process Mining: The Janus LTLpf Approach.- Unbiased, Fine-Grained Description of Processes Performance from Event Data.- Abstract-and-Compare: A Family of Scalable Precision Measures for Automated Process Discovery.- Correlating Activation and Target Conditions in Data-Aware Declarative Process Discovery.- Track II: Alignments and Conformance Checking.- Efficiently Computing Alignments using the Extended Marking Equation.- An Evolutionary Technique to Approximate Multiple Optimal Alignments.- Maximizing Synchronization for Aligning Observed and Modelled Behaviour.- Online Conformance Checking Using Behavioural Patterns.- Track II: Process Model Analysis and Machine Learning.- BINet: Multivariate Business Process Anomaly Detection Using Deep Learning.- Finding Structure in the Unstructured: Hybrid Feature Set Clustering for Process Discovery.- act2vec, trace2vec, log2vec, and model2vec: Representation Learning for Business Processes.- Who is behind the Model? Classifying Modelers based on Pragmatic Model Features.- Finding the "Liberos": Discover Organizational Models with Overlaps.- Track III: Digital Process Innovation.- On The Synergies Between Business Process Management and Digital Innovation.- Effective Leadership in BPM Implementations: A Case Study of BPM in a DevelopingCountry, Public Sector Context.- Conceptualizing a Framework to Manage the Short Head and Long Tail of Business Processes.- Using Business Process Compliance Approaches for Compliance Management with regard to Digitization: Evidence from a Systematic Literature Review.- Big Data Analytics as an Enabler of Process Innovation Capabilities: A Configurational Approach.- Track III: Method Analysis and Selection.- Assessing the Quality of Search Process Models.- Predictive Process Monitoring Methods: Which One Suits Me Best.- How Context-aware are Extant BPM Methods and Tools? – Development of an Assessment Scheme.- Process Forecasting: Towards Proactive Business Process Management.